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AntTech
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AntTech

Technology is the core driver of Ant's future creation.

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Latest from AntTech

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AntTech
AntTech
May 26, 2026 · Artificial Intelligence

Enabling Robots to “Think While Acting”: LingBot-VA Paper Accepted at RSS 2026

Researchers from AntLingbo and Hong Kong University present LingBot-VA, a causal world modeling framework for robot control that predicts future environment changes and generates actions, achieving up to 98.5% success on benchmarks and over 20‑point gains with only 50 real demonstrations, now open‑sourced after acceptance at RSS 2026.

LingBot-VAOpen SourceRSS 2026
0 likes · 5 min read
Enabling Robots to “Think While Acting”: LingBot-VA Paper Accepted at RSS 2026
AntTech
AntTech
May 25, 2026 · Artificial Intelligence

Ant Group and Five Universities Unveil Agent3σ: A Multi‑Layer AI Agent Security Evaluation Platform

As AI agents move from simple Q&A to tool use and real‑world actions, Ant Group and five leading universities launch the open‑source Agent3σ platform, offering a three‑tier, 7‑dimension risk framework and concrete metrics to assess agents' safety across static, simulated, and live environments.

AI agentAgent3σMulti‑Layer Testing
0 likes · 9 min read
Ant Group and Five Universities Unveil Agent3σ: A Multi‑Layer AI Agent Security Evaluation Platform
AntTech
AntTech
May 22, 2026 · Cloud Native

From Computer Use to Datacenter Use: Enabling AI Agents to Drive Data Centers Like Function Calls

The article analyzes how AI agents require datacenter‑scale compute beyond a single virtual machine, explains why existing cloud‑native stacks cannot meet this demand, and details Ant Group's AKernel and openYuanrong solution—including three technical pillars, performance benchmarks, a tiny development team, and a streamlined deployment workflow that turns any developer into a "Build Your Own Cluster" operator.

AI agentsAKernelCloud Native
0 likes · 16 min read
From Computer Use to Datacenter Use: Enabling AI Agents to Drive Data Centers Like Function Calls
AntTech
AntTech
May 20, 2026 · Big Data

SIGMOD 2026: Shared Computation for Query Subgraph Matching & Fast MPC Shortest Paths

This article reviews two SIGMOD 2026 papers—MASC, which redefines multi‑query subgraph matching by maximizing shared computation to achieve up to two orders of magnitude speedup, and PrivHop, which combines 2‑hop labeling with secure multi‑party computation to enable privacy‑preserving shortest‑path queries on million‑node graphs with roughly a million‑fold reduction in runtime and communication.

MPCgraph algorithmsprivacy-preserving
0 likes · 5 min read
SIGMOD 2026: Shared Computation for Query Subgraph Matching & Fast MPC Shortest Paths
AntTech
AntTech
May 12, 2026 · Operations

Solving GenAI Observability Standardization with LoongSuite’s Unified Data Language

The article details how Alibaba and Ant Group’s LoongSuite GenAI observability semantic conventions use a unified data language to standardize GenAI telemetry, introduce entry/step spans, skill semantics, and token‑level tracing, and provide a reusable GenAI Utils library for scalable deployment across agents and inference engines.

GenAIInstrumentationLoongSuite
0 likes · 22 min read
Solving GenAI Observability Standardization with LoongSuite’s Unified Data Language
AntTech
AntTech
May 8, 2026 · Artificial Intelligence

Join the ACM MM 2026 EgoLink Challenge to Advance Egocentric Reasoning

The ACM MM 2026 EgoLink Grand Challenge invites researchers to tackle egocentric video understanding by evaluating social reasoning, causal inference, intent prediction, and multimodal interaction, offering two tracks that test perception‑reasoning‑action loops on real‑world first‑person datasets.

ACM MM 2026Embodied AIMultimodal
0 likes · 10 min read
Join the ACM MM 2026 EgoLink Challenge to Advance Egocentric Reasoning
AntTech
AntTech
May 6, 2026 · Information Security

How Ant Group’s ASL Protocol Bridges the Trust Gap in Multi‑Agent Collaboration

The IIFAA Internet Trusted Certification Alliance, led by Ant Group and partners, has released the Agent Security Link (ASL) protocol, a verifiable security architecture that provides trustworthy identity, connection, authorization, and intent for AI agents, enabling secure, end‑to‑end interactions in high‑frequency scenarios such as parking payment and shared mobility.

AI agentsASL protocolIIFAA
0 likes · 5 min read
How Ant Group’s ASL Protocol Bridges the Trust Gap in Multi‑Agent Collaboration
AntTech
AntTech
Apr 23, 2026 · Artificial Intelligence

Ling-2.6-flash: Faster Response, Stronger Execution, and Higher Token Efficiency for Agent Workloads

Ling-2.6-flash is a 104B‑parameter Instruct model that uses a mixed‑linear architecture and token‑efficiency optimizations to achieve up to 340 tokens/s inference speed, 4× higher throughput than comparable models, and ten‑fold lower token consumption on Agent benchmarks, while maintaining SOTA performance.

Agent OptimizationLLMbenchmark
0 likes · 15 min read
Ling-2.6-flash: Faster Response, Stronger Execution, and Higher Token Efficiency for Agent Workloads
AntTech
AntTech
Apr 22, 2026 · Artificial Intelligence

How Multi‑Agent MCTS and Information‑Gain Rewards Are Transforming Mobile GUI and Search Agents

This article reviews two recent ICLR 2026 papers—M²‑Miner, a multi‑agent Monte‑Carlo Tree Search framework for low‑cost mobile GUI data mining, and IGPO, an information‑gain‑based reinforcement‑learning method that provides dense rewards for multi‑turn search agents—detailing their designs, experiments, and open‑source releases.

GUI Data MiningInformation GainLLM agents
0 likes · 8 min read
How Multi‑Agent MCTS and Information‑Gain Rewards Are Transforming Mobile GUI and Search Agents
AntTech
AntTech
Apr 14, 2026 · Artificial Intelligence

AT-ADD Challenge: Pushing All‑Type Audio Deepfake Detection Forward

The AT‑ADD competition, organized for ACM MM 2026, invites researchers to develop robust audio deepfake detection models across speech, environmental sounds, singing, and music, providing diverse real‑world datasets, baseline code, clear evaluation metrics, and a two‑stage submission process to advance AI security.

AT-ADDAudio DeepfakeMachine Learning
0 likes · 10 min read
AT-ADD Challenge: Pushing All‑Type Audio Deepfake Detection Forward